Triple
T7628601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kia Motors |
E172700
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Kia Industries |
E172700
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kia Industries | Statement: [Kia Motors, formerName, Kia Industries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kia Industries Context triple: [Kia Motors, formerName, Kia Industries]
-
A.
Kia Motors
chosen
Kia Motors is a South Korean automobile manufacturer known for producing a wide range of affordable cars and SUVs for global markets.
-
B.
LG Group
LG Group is a major South Korean multinational conglomerate known for its electronics, chemicals, and telecommunications businesses.
-
C.
Hyundai Motor Company
Hyundai Motor Company is a leading South Korean automotive manufacturer known globally for producing a wide range of affordable and reliable vehicles.
-
D.
Hyundai Mobis
Hyundai Mobis is a major South Korean automotive parts and technology company that serves as the primary components and module supplier for the Hyundai Motor Group.
-
E.
Kumho Asiana Group
Kumho Asiana Group is a South Korean conglomerate best known for its transportation and logistics businesses, including ownership of Asiana Airlines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa831f508190ab2f72326cdf4497 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4f142c48190a63f6e25dad3d57e |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 3:56 p.m.